Document Type

Conference Paper

Rights

Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Disciplines

1.2 COMPUTER AND INFORMATION SCIENCE

Publication Details

Appeared at the International Conference on Internet of Things and Machine Learning, Liverpool, October 2017

Abstract

Increasingly, Internet of Things (IoT) devices are being woven into the fabric of our physical world. With this rapidly expanding pervasive deployment of IoT devices, and supporting infrastructure, we are fast approaching the point where the problem of IoT based cyber-security attacks is a serious threat to industrial operations, business activity and social interactions that leverage IoT technologies. The number of threats and successful attacks against connected systems using IoT devices and services are increasing. The Internet of Things has several characteristics that present technological challenges to traditional cyber-security techniques. The Internet of Things requires a novel and dynamic security paradigm.

This paper describes the challenges of securing the Internet of Things. A discussion detailing the state-of-the-art of IoT security is presented. A novel approach to security detection using streaming data analytics to classify and detect security threats in their early stages is proposed. Implementation methodologies and results of ongoing work to realise this new IoT cyber-security technique for threat detection are presented.

DOI

10.1145/3109761.3109791

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